Senior DevOps Lead - Equities Trading & FIX Systems

Archer

Houston (TX)

On-site

USD 130,000 - 180,000

Full time

37 hours ago
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Job summary

JPMorgan Chase is seeking a Lead Software Engineer in the Markets Tech division to advance trading platforms with high reliability and scalable systems. The role emphasizes Python automation, Linux troubleshooting, and Grafana observability, while leveraging C++ for issue investigation and cross-team collaboration.

You will operate Kafka on AWS, drive AI-assisted engineering practices, and contribute to secure, resilient delivery.

Qualifications

  • Formal training or certification in software engineering concepts.
  • Proficiency in Python, C++, Bash, Grafana or equivalent.
  • Experience in DevOps/SRE in low-latency, mission-critical environments.
  • Practical understanding of the FIX protocol.
  • Strong Linux troubleshooting: logs, processes, diagnostics.
  • Ability to collaborate across trading, operations and engineering teams.
  • Experience with AI-assisted development tools and validating AI outputs.

Responsibilities

  • Provide creative software design, development, and troubleshooting across multiple tech areas.
  • Deliver daily production support for electronic trading platforms, including FIX sessions and workflow stability.
  • Monitor health and trading signals using Grafana dashboards to improve latency, errors, and throughput.
  • Lead incident triage and restoration with clear stakeholder communications.
  • Perform root cause analysis and implement durable remediation and automation.
  • Develop secure production code with Python scripts for health checks and automation.
  • Operate and support Kafka on AWS with topic design, throughput tuning, and security.

Skills

Python
C++
Linux
Grafana
FIX protocol
DevOps / SRE
CI/CD
AI-assisted development tools

Education

Formal training or certification in Software Engineering

Tools

Kafka on AWS
AWS
CI/CD tooling

Job description

JPMorgan Chase is seeking a Lead Software Engineer in the Markets Tech division to advance trading platforms with high reliability and scalable systems. The role emphasizes Python automation, Linux troubleshooting, and Grafana observability, while leveraging C++ for issue investigation and cross-team collaboration.

You will operate Kafka on AWS, drive AI-assisted engineering practices, and contribute to secure, resilient delivery.

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